Stefano Monti PhD
Associate Professor, Computational Biomedicine
Associate Professor, Biostatistics
75 E. Newton St | (617) 414-7031smonti@bu.edu
Sections
Computational Biomedicine
Centers
BU-BMC Cancer Center
Evans Center for Interdisciplinary Biomedical Research
Biography
Stefano Monti is a Computational Biologist and joined the BU faculty in January 2011 in the section of Computational Biomedicine, with joint appointments in the Biostatistics Department and the Bioinformatics program. Monti received his Ph.D. in Intelligent Systems and Artificial Intelligence from the University of Pittsburgh, and completed his training with a post-doctoral fellowship at the Robotics Institute at Carnegie Mellon. His doctoral and post-doctoral research focused on the development of machine learning and knowledge discovery methodologies, with a particular emphasis on probabilistic reasoning and Bayesian approaches to modeling biomedical data. Since 2001, he has worked in the field of Cancer Genomics, first as a Research Scientist at the Whitehead Institute’s Center for Genome Research, and later as a Computational Biologist in the Cancer Program at the Broad Institute.
Dr. Monti's laboratory integrates systems biology, machine learning, and bioinformatics approaches to investigate the molecular drivers of human disease, with the goals of advancing prevention and care. This multidisciplinary effort relies on the development of novel computational methodologies, and on the design of experiments based on the generation and integrative analysis of high-throughput multi-omics data, with the goal of identifying novel therapeutic targets and developing accurate diagnostic and prognostic biomarkers. Specific areas of research include the study of the molecular mechanisms of tumor initiation and progression and of the role played in it by environmental exposure, as well as the study of the biological factors contributing to healthy aging and extreme longevity.
Other Positions
Education
Artificial Intelligence, PhD, University of Pittsburgh
Artificial Intelligence, MS, University of Pittsburgh
Computer Science, MS, University of Houston
Computer Science, BS, Università degli Studi di Udine
Publications
Don J, Schork AJ, Glusman G, Rappaport N, Cummings SR, Duggan D, Raju A, Hellberg KG, Gunn S, Monti S, Perls T, Lapidus J, Goetz LH, Sebastiani P, Schork NJ. The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank. Geroscience. 2024 Mar 07. PMID: 38451433.
Published on 1/30/2024Li M, Song Z, Gurinovich A, Schork N, Sebastiani P, Monti S. yQTL Pipeline: a structured computational workflow for large scale quantitative trait loci discovery and downstream visualization. bioRxiv. 2024 Jan 30. PMID: 38370654.
Published on 8/27/2023Leshchyk A, Xiang Q, Andersen SL, Gurinovich A, Song Z, Lee JH, Christensen K, Yashin A, Wojczynski M, Schwander K, Perls TT, Monti S, Sebastiani P. Mosaic Chromosomal Alterations and Human Longevity. J Gerontol A Biol Sci Med Sci. 2023 Aug 27; 78(9):1561-1568. PMID: 36988570.
Published on 8/4/2023Khan MM, Frustino J, Villa A, Nguyen BC, Woo SB, Johnson WE, Varelas X, Kukuruzinska M, Monti S. Total RNA sequencing reveals gene expression and microbial alterations shared by oral pre-malignant lesions and cancer. Hum Genomics. 2023 Aug 04; 17(1):72. PMID: 37542347.
Published on 6/21/2023Reed ER, Jankowski SA, Spinella AJ, Noonan V, Haddad R, Nomoto K, Matsui J, Bais MV, Varelas X, Kukuruzinska MA, Monti S. ß-catenin/CBP activation of mTORC1 signaling promotes partial epithelial-mesenchymal states in head and neck cancer. Transl Res. 2023 Oct; 260:46-60. PMID: 37353110.
Published on 6/1/2023Karagiannis TT, Monti S, Sebastiani P. Bayesian differential analysis of cell type proportions: opinion. Front Genet. 2023; 14:1205499. PMID: 37323674.
Published on 5/18/2023Federico A, Kern J, Varelas X, Monti S. Structure learning for gene regulatory networks. PLoS Comput Biol. 2023 May; 19(5):e1011118. PMID: 37200395.
Published on 3/31/2023Karagiannis TT, Dowrey TW, Villacorta-Martin C, Montano M, Reed E, Belkina AC, Andersen SL, Perls TT, Monti S, Murphy GJ, Sebastiani P. Multi-modal profiling of peripheral blood cells across the human lifespan reveals distinct immune cell signatures of aging and longevity. EBioMedicine. 2023 Apr; 90:104514. PMID: 37005201.
Published on 3/29/2023Leshchyk A, Xiang Q, Andersen SL, Gurinovich A, Song Z, Lee JH, Christensen K, Yashin A, Wojczynski M, Schwander K, Perls TT, Monti S, Sebastiani P. Mosaic chromosomal alterations and human longevity. J Gerontol A Biol Sci Med Sci. 2023 Mar 29. PMID: 36988570.
Published on 3/24/2023Khan MM, Frustino J, Villa A, Nguyen BC, Woo SB, Johnson WE, Varelas X, Kukuruzinska M, Monti S. Total RNA sequencing reveals gene expression and microbial alterations shared by oral pre-malignant lesions and cancer. bioRxiv. 2023 Mar 24. PMID: 36993637.
Media Mentions
Published on 4/18/2023
Study: Strong immune cells may be the key to living to 100
Published on 4/6/2023
Immune System May Hold Secret to Living to 100
Published on 4/5/2023
New Study Finds The Key To Living To 100 And Beyond
Published on 4/5/2023
Secret To Longevity? Scientists Find Unique Immune Cells In Centenarians That Protect From Illnesses
Published on 4/5/2023
‘Elite’ Immune Systems Could Be Centenarians’ Secret: Study
Published on 4/4/2023
DNA study reveals one key factor that helps some people live beyond 100
Published on 4/4/2023
This is what you need to live to 100: DNA study
Published on 4/3/2023
A 'blueprint' for longevity: New study has an answer for why some people live to be over 100
Published on 8/10/2021
Chemicals in Your Furniture Might Impact Your Metabolism
Published on 11/18/2019
Computational Model Identifies New Candidate Cancer Genes
View full list of 11 media mentions.